Beyond Basic Pricing

In the competitive world of investment management, accurate and timely pricing data isn't just an operational concern—it's a critical business requirement. Yet for many Geneva users, Bloomberg's standard pricing activities present persistent challenges that drain resources and create unnecessary risks.

The Hidden Costs of Pricing Data Inefficiency

After working with dozens of investment managers, we've observed common challenges with Bloomberg's Prices and Historical Prices activities:

• Data quality issues that require manual verification and adjustment

• Inconsistent handling of GBp securities leading to factor calculation errors

• Limited support for complex instruments such as structured products and bank loans

• Inefficient exception management consuming valuable operational resources

• Strict reliance on a single pricing source even when alternative sources might have better coverage

These challenges translate directly to business impacts: delayed NAV calculation, increased operational risk, questionable valuations for complex securities, and excessive time spent on manual reconciliation.

Reimagining Bloomberg Pricing Integration

At [Your Company Name], we've developed enhanced solutions that transform how investment firms handle Bloomberg pricing data in their Geneva environments.

1. Multi-Source Pricing with Waterfall Logic

Standard Bloomberg pricing integration relies exclusively on Bloomberg as a source. Our enhanced approach implements sophisticated waterfall logic that:

• Prioritizes sources based on security types, allowing different rules for equities vs. fixed income

• Incorporates multiple sources (Bloomberg, ICE, Reuters) in a single cohesive workflow

• Applies configurable quality checks to automatically select the most reliable price

• Creates transparent audit trails documenting which source was used and why

Real-World Impact: A $5B hedge fund reduced pricing exceptions by 73% by implementing our multi-source waterfall approach, eliminating nearly all manual price verification processes.

2. Custom Pricing Transformations for Complex Securities

Standard Bloomberg activities struggle with complex instruments. Our enhanced solution provides:

• Specialized handling for structured products with proper component valuation

• Bank loan pricing workflows that incorporate administrative agent data

• Enhanced GBp handling that correctly applies the 100-factor without affecting analytics

• OTC derivative valuation that properly captures all components of the price

Case Example: A credit-focused investment manager implemented our enhanced bank loan pricing solution and eliminated 4 hours of daily manual price adjustment work.

3. Automated Price Verification and Reconciliation

Rather than treating pricing as a simple data import task, our enhanced approach integrates verification:

• Automated tolerance-based comparisons against secondary sources

• Historical trend analysis to flag statistically anomalous price movements

• Integration with third-party valuation services for independent verification

• Exception workflow routing that directs issues to the appropriate specialists

Measured Results: One client reduced their price verification cycle from 3 hours to 20 minutes while simultaneously improving accuracy.

4. Custom Price Snapshots for Client Reporting

Bloomberg's standard pricing activities lack flexibility for reporting timing. Our enhanced solution provides:

• Configurable price capture times aligned with client reporting requirements

• Regional market close automation for global portfolios

• Historical comparison snapshots for performance reporting

• Customizable price selection rules based on liquidity and market conditions

Implementing Enhanced Pricing Workflows

The transformation to enhanced pricing begins with understanding your unique challenges. Our approach follows a proven process:

1. Assessment: Detailed analysis of current pricing workflows and pain points

2. Design: Custom solution architecture based on specific business requirements

3. Development: Implementation of enhanced transformations and activities

4. Testing: Rigorous parallel validation against existing processes

5. Deployment: Careful production implementation with continuous monitoring

Beyond Technology: The Operational Impact

While the technical enhancements are significant, the real value comes from operational improvements:

• Faster NAV calculation and earlier reporting to clients

• Reduced operational risk from automated verification

• More accurate valuations for complex instruments

• Scalable growth without adding headcount

• Enhanced compliance through better audit trails

Is Your Firm Ready for Enhanced Pricing?

The most successful implementations of our enhanced Bloomberg pricing solutions come from firms experiencing these indicators:

• Regular manual price adjustments for certain security types

• Delays in NAV finalization due to pricing issues

• Growing operational costs as AUM increases

• Audit findings related to pricing processes

• Increasing complexity in investment strategies

If these challenges sound familiar, your firm could benefit significantly from our approach to Bloomberg pricing data integration.

Next Steps

To learn more about how our enhanced Bloomberg pricing solutions could benefit your firm:

• Visit our detailed service overview: [yourwebsite.com/services#bloomberg-pricing]

• Request our pricing integration case study: [contact email]

• Schedule a consultation to discuss your specific challenges: